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K-Medoids clustering is very expensive. The basic algorithm PAM (Partitioning Around Medoids) does not scale very well for bigger datasets. To cope with this problem many modifications of the PAM algorithm, have been developed (ie. CLARANS). Unfortunately larger datasets still need to be clustered on computers whose computing power exceeds those of the normal desktop PCs. In this paper we present...
In this paper, we analyze the extended ISBSG dataset, which contains data on a wide range of software projects developed in various companies worldwide. The main aim of this paper is to identify important factors that influence software quality and to investigate the nature of these relationships. This analysis involves using various statistical techniques, both analytical and graphical. We provide...
This paper presents practical implementation of computer support for an effectiveness analysis of queue algorithms in flexible manufacturing systems (FMSs). A proposed model, based on hierarchical timed coloured Petri net (HTCPN) formalism, is used as a simulation instrument. Implementation of various queue methods has been successfully deployed and tested: due time, minimum makespan, maximum makespan,...
This paper presents an overview of the existing notions of Bags, Fuzzy Bags, IC-Bags, IF-Bags and Fuzzy IC-Bags. Based on these notions, the concept of Intuitionistic Fuzzy Bags with Interval Counts (Intuitionistic fuzzy IC-Bags) is proposed. Further, some characteristics of Intuitionistic fuzzy IC-Bags are studied, and some examples are furnished in this context.
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